{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/chrisclary/Dropbox/India two front Survey Experiment/Minority article/Submitted documents/Conditional Accept Submission/linked_outgroup_2024.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 4 Jul 2024, 18:07:57

{com}. do "/var/folders/b6/tnxfsy1d143f43ksfk49djw40000gp/T//SD19624.000000"
{txt}
{com}. set more off
{txt}
{com}. 
. ** cd [insert path] 
. 
. use "linked_outgroup_2024.dta"
{txt}(Written by R.              )

{com}. 
. gen control=1 if treatment==9
{txt}(6,213 missing values generated)

{com}. replace control=0 if inrange(treatment, 1, 8)
{txt}(6,213 real changes made)

{com}. 
. * "Respondents were asked a series of questions about their political views before they 
. * were randomly assigned to a crisis vignette condition (n=6213) or a control condition (n=839). 
. count if inrange(treatment, 1,8)
  {res}6,213
{txt}
{com}. count if treatment==9
  {res}839
{txt}
{com}. 
. *"...among non-Muslim respondents (n=6122; 86.8% of our sample)"
. fre muslim
{res}
{txt}muslim
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}       6122      86.81      86.81      86.81
{txt}        1     {c |}{res}        930      13.19      13.19     100.00
{txt}        Total {c |}{res}       7052     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}. 
. * Of non-Muslim respondents, 39.4% expressed unwillingness to have a Muslim neighbor 
. * with another 4.4% of respondents that “can’t say.” 
. fre T9OM1A if T9OM1A!=.
{res}
{txt}T9OM1A {hline 2} Would you be willing to have a Muslim as a neighbor?
{txt}{hline 19}{hline 1}{c TT}{hline 44}
{txt}        {txt}            {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 19}{hline 1}{c +}{hline 44}
{txt}Valid   0 Can't Say {c |}{res}        271       4.43       4.43       4.43
{txt}        1 Yes       {c |}{res}       3441      56.21      56.21      60.63
{txt}        2 No        {c |}{res}       2410      39.37      39.37     100.00
{txt}        Total       {c |}{res}       6122     100.00     100.00           
{txt}{hline 19}{hline 1}{c BT}{hline 44}

{com}. 
. * When asked if India’s Muslim population is growing too rapidly, 80.7% of non-Muslim 
. * respondents agreed, while another 9.4% “can’t say.”
. fre T9OM2 if T9OM2!=.
{res}
{txt}T9OM2 {hline 2} Do you believe the Muslim population in India is growing too rapidly?
{txt}{hline 19}{hline 1}{c TT}{hline 44}
{txt}        {txt}            {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 19}{hline 1}{c +}{hline 44}
{txt}Valid   0 Can't Say {c |}{res}        576       9.41       9.41       9.41
{txt}        1 Yes       {c |}{res}       4943      80.74      80.74      90.15
{txt}        2 No        {c |}{res}        603       9.85       9.85     100.00
{txt}        Total       {c |}{res}       6122     100.00     100.00           
{txt}{hline 19}{hline 1}{c BT}{hline 44}

{com}. 
. * Of non-Muslim respondents who were exposed to crisis vignettes involving China or Pakistan, 
. * 38.8% stated they were unwilling to have a Muslim neighbor, 4.7 percentage points (p<0.05) 
. * less than the 43.5% of respondents in the control condition that expressed this discriminatory view
. ttest no_neighbor, by(control) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,407{col 22} .3882005{col 34} .0066282{col 46} .4873857{col 58} .3752066{col 70} .4011944
       {txt}1 {c |}{res}{col 12}    715{col 22}  .434965{col 34} .0185531{col 46} .4960995{col 58} .3985399{col 70} .4713901
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .3936622{col 34} .0062446{col 46} .4886013{col 58} .3814205{col 70} .4059039
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0467646{col 34} .0197015{col 58}-.0854304{col 70}-.0080987
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.3737
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res}  905.94

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0089         {txt}Pr(|T| > |t|) = {res}0.0178          {txt}Pr(T > t) = {res}0.9911
{txt}
{com}. 
. * (Attitudes toward Muslim population growth were indistinguishable between crisis vignette and control conditions.) 
. ttest muslim_rapid, by(control) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,407{col 22} .8087664{col 34} .0053488{col 46} .3933089{col 58} .7982806{col 70} .8192522
       {txt}1 {c |}{res}{col 12}    715{col 22} .7972028{col 34} .0150476{col 46} .4023642{col 58}   .76766{col 70} .8267456
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .8074159{col 34} .0050402{col 46} .3943614{col 58} .7975353{col 70} .8172964
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0115636{col 34} .0159699{col 58}-.0197788{col 70} .0429061
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7241
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 903.922

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7654         {txt}Pr(|T| > |t|) = {res}0.4692          {txt}Pr(T > t) = {res}0.2346
{txt}
{com}. ttest muslim_rapid, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,463{col 22} .8036385{col 34} .0067514{col 46} .3973025{col 58} .7904013{col 70} .8168756
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .8123355{col 34} .0075732{col 46} .3905175{col 58} .7974854{col 70} .8271855
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .8074159{col 34} .0050402{col 46} .3943614{col 58} .7975353{col 70} .8172964
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.008697{col 34} .0101457{col 58}-.0285864{col 70} .0111924
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8572
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5765.71

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1957         {txt}Pr(|T| > |t|) = {res}0.3914          {txt}Pr(T > t) = {res}0.8043
{txt}
{com}. ttest muslim_rapid if treatment!=9, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,748{col 22}  .805313{col 34} .0075548{col 46} .3960317{col 58} .7904993{col 70} .8201266
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .8123355{col 34} .0075732{col 46} .3905175{col 58} .7974854{col 70} .8271855
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  5,407{col 22} .8087664{col 34} .0053488{col 46} .3933089{col 58} .7982806{col 70} .8192522
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0070225{col 34} .0106971{col 58}-.0279932{col 70} .0139482
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6565
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5403.07

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2558         {txt}Pr(|T| > |t|) = {res}0.5115          {txt}Pr(T > t) = {res}0.7442
{txt}
{com}. 
. * 36.7% of respondents that received a crisis vignette involving Pakistan said they would not 
. * be willing to have a Muslim neighbor compared to 41.4% of respondents receiving either China 
. * vignettes or the control condition, a difference in means of 4.7 percentage points 
. * (p<0.001 from a two-sided t-test permitting unequal variances).
. ttest no_neighbor, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,463{col 22} .4140918{col 34} .0083714{col 46} .4926356{col 58} .3976784{col 70} .4305053
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .3670553{col 34} .0093491{col 46} .4820924{col 58}  .348723{col 70} .3853876
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .3936622{col 34} .0062446{col 46} .4886013{col 58} .3814205{col 70} .4059039
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0470365{col 34} .0125494{col 58} .0224351{col 70}  .071638
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.7481
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5777.46

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9999         {txt}Pr(|T| > |t|) = {res}0.0002          {txt}Pr(T > t) = {res}0.0001
{txt}
{com}. 
. * The difference in means is 4.2 percentage points (p<0.01) between Pakistan and China vignette 
. * conditions, excluding the control condition.
. ttest no_neighbor if treatment!=9, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,748{col 22} .4086608{col 34} .0093793{col 46} .4916758{col 58} .3902696{col 70}  .427052
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .3670553{col 34} .0093491{col 46} .4820924{col 58}  .348723{col 70} .3853876
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  5,407{col 22} .3882005{col 34} .0066282{col 46} .4873857{col 58} .3752066{col 70} .4011944
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0416056{col 34}  .013243{col 58} .0156439{col 70} .0675672
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.1417
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5404.05

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9992         {txt}Pr(|T| > |t|) = {res}0.0017          {txt}Pr(T > t) = {res}0.0008
{txt}
{com}. 
. 
. ** Figure 1
. gen hypo_groups=.
{txt}(7,052 missing values generated)

{com}. * Group All Pakistan Vignettes Under Hypo_Group 1
. replace hypo_groups=1 if inlist(treatment, 2, 4, 6, 8)
{txt}(3,069 real changes made)

{com}. * Group All China Vignettes Under Hypo_Group 2
. replace hypo_groups=2 if inlist(treatment, 1, 3, 5, 7)
{txt}(3,144 real changes made)

{com}. * Control Vignette is Hypo Group 3
. replace hypo_groups=3 if treatment==9
{txt}(839 real changes made)

{com}. reg no_neighbor ibn.hypo_groups, nocons 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6119)      = {res}  1332.83
{txt}       Model {c |} {res} 952.446211         3   317.48207   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1457.55379     6,119  .238201306   {txt}R-squared       ={res}    0.3952
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3949
{txt}       Total {c |} {res}       2410     6,122  .393662202   {txt}Root MSE        =   {res} .48806

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} no_neighbor{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hypo_groups {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3670553{col 26}{space 2} .0094648{col 37}{space 1}   38.78{col 46}{space 3}0.000{col 54}{space 4} .3485009{col 67}{space 3} .3856097
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4086608{col 26}{space 2} .0093103{col 37}{space 1}   43.89{col 46}{space 3}0.000{col 54}{space 4} .3904094{col 67}{space 3} .4269123
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .434965{col 26}{space 2} .0182524{col 37}{space 1}   23.83{col 46}{space 3}0.000{col 54}{space 4}  .399184{col 67}{space 3} .4707461
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store A
{txt}
{com}. coefplot A, vert mlabel format(%9.3g) scheme(s1mono)
{res}{txt}
{com}. 
. * Sub-group tests
. reg no_neighbor pakistan##modi_dummy

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}    27.88
{txt}       Model {c |} {res} 19.7070983         3  6.56903277   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}   1441.567     6,118  .235627165   {txt}R-squared       ={res}    0.0135
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0130
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48541

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        no_neighbor{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.pakistan {c |}{col 21}{res}{space 2}-.0254957{col 33}{space 2} .0306808{col 44}{space 1}   -0.83{col 53}{space 3}0.406{col 61}{space 4}-.0856409{col 74}{space 3} .0346495
{txt}{space 7}1.modi_dummy {c |}{col 21}{res}{space 2} .1495483{col 33}{space 2} .0223877{col 44}{space 1}    6.68{col 53}{space 3}0.000{col 61}{space 4} .1056606{col 74}{space 3}  .193436
{txt}{space 19} {c |}
pakistan#modi_dummy {c |}
{space 15}1 1  {c |}{col 21}{res}{space 2}-.0245128{col 33}{space 2} .0336046{col 44}{space 1}   -0.73{col 53}{space 3}0.466{col 61}{space 4}-.0903896{col 74}{space 3} .0413641
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2887701{col 33}{space 2} .0204942{col 44}{space 1}   14.09{col 53}{space 3}0.000{col 61}{space 4} .2485942{col 74}{space 3} .3289459
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##bjp_dummy

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}    32.56
{txt}       Model {c |} {res} 22.9646411         3  7.65488037   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1438.30945     6,118  .235094713   {txt}R-squared       ={res}    0.0157
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0152
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48487

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       no_neighbor{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.pakistan {c |}{col 20}{res}{space 2}-.0194577{col 32}{space 2}  .024409{col 43}{space 1}   -0.80{col 52}{space 3}0.425{col 60}{space 4}-.0673081{col 73}{space 3} .0283926
{txt}{space 7}1.bjp_dummy {c |}{col 20}{res}{space 2} .1432972{col 32}{space 2} .0189325{col 43}{space 1}    7.57{col 52}{space 3}0.000{col 60}{space 4} .1061829{col 73}{space 3} .1804114
{txt}{space 18} {c |}
pakistan#bjp_dummy {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0347123{col 32}{space 2} .0284214{col 43}{space 1}   -1.22{col 52}{space 3}0.222{col 60}{space 4}-.0904283{col 73}{space 3} .0210038
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .3071672{col 32}{space 2} .0163541{col 43}{space 1}   18.78{col 52}{space 3}0.000{col 60}{space 4} .2751074{col 73}{space 3} .3392271
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##high_inc

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     9.83
{txt}       Model {c |} {res} 7.01162395         3  2.33720798   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1454.26247     6,118  .237702267   {txt}R-squared       ={res}    0.0048
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0043
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48755

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      no_neighbor{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.pakistan {c |}{col 19}{res}{space 2}-.0359603{col 31}{space 2} .0162466{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-.0678094{col 72}{space 3}-.0041112
{txt}{space 7}1.high_inc {c |}{col 19}{res}{space 2}-.0358676{col 31}{space 2} .0168861{col 42}{space 1}   -2.12{col 51}{space 3}0.034{col 59}{space 4}-.0689703{col 72}{space 3}-.0027649
{txt}{space 17} {c |}
pakistan#high_inc {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}-.0281183{col 31}{space 2} .0256478{col 42}{space 1}   -1.10{col 51}{space 3}0.273{col 59}{space 4} -.078397{col 72}{space 3} .0221603
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .4285714{col 31}{space 2} .0107289{col 42}{space 1}   39.95{col 51}{space 3}0.000{col 59}{space 4} .4075389{col 72}{space 3} .4496039
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##moremuslims

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     4.66
{txt}       Model {c |} {res} 3.32998929         3  1.10999643   {txt}Prob > F        ={res}    0.0030
{txt}    Residual {c |} {res}  1457.9441     6,118  .238304038   {txt}R-squared       ={res}    0.0023
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0018
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48816

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             no_neighbor{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      t{col 58}   P>|t|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.pakistan {c |}{col 26}{res}{space 2}-.0475362{col 38}{space 2} .0179993{col 49}{space 1}   -2.64{col 58}{space 3}0.008{col 66}{space 4}-.0828212{col 79}{space 3}-.0122512
{txt}{space 7}1.moremuslimstate {c |}{col 26}{res}{space 2} .0007175{col 38}{space 2} .0165909{col 49}{space 1}    0.04{col 58}{space 3}0.966{col 66}{space 4}-.0318065{col 79}{space 3} .0332414
{txt}{space 24} {c |}
pakistan#moremuslimstate {c |}
{space 20}1 1  {c |}{col 26}{res}{space 2} .0009347{col 38}{space 2}  .025185{col 49}{space 1}    0.04{col 58}{space 3}0.970{col 66}{space 4}-.0484367{col 79}{space 3} .0503062
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .4137334{col 38}{space 2} .0117264{col 49}{space 1}   35.28{col 58}{space 3}0.000{col 66}{space 4} .3907454{col 79}{space 3} .4367214
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##old

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     4.67
{txt}       Model {c |} {res} 3.34037693         3  1.11345898   {txt}Prob > F        ={res}    0.0029
{txt}    Residual {c |} {res} 1457.93372     6,118   .23830234   {txt}R-squared       ={res}    0.0023
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0018
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48816

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} no_neighbor{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.pakistan {c |}{col 14}{res}{space 2} -.049559{col 26}{space 2} .0169114{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.0827112{col 67}{space 3}-.0164068
{txt}{space 7}1.old {c |}{col 14}{res}{space 2}-.0017922{col 26}{space 2} .0166626{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-.0344567{col 67}{space 3} .0308723
{txt}{space 12} {c |}
pakistan#old {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0056771{col 26}{space 2} .0253251{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4} -.043969{col 67}{space 3} .0553232
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .4149049{col 26}{space 2} .0112229{col 37}{space 1}   36.97{col 46}{space 3}0.000{col 54}{space 4} .3929041{col 67}{space 3} .4369056
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##north_south

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,546
{txt}{hline 13}{c +}{hline 34}   F(3, 3542)      = {res}    84.80
{txt}       Model {c |} {res} 55.1261375         3  18.3753792   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 767.477641     3,542  .216679176   {txt}R-squared       ={res}    0.0670
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0662
{txt}       Total {c |} {res} 822.603779     3,545    .2320462   {txt}Root MSE        =   {res} .46549

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         no_neighbor{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.pakistan {c |}{col 22}{res}{space 2}-.0456756{col 34}{space 2} .0268353{col 45}{space 1}   -1.70{col 54}{space 3}0.089{col 62}{space 4}-.0982899{col 75}{space 3} .0069387
{txt}{space 7}1.north_south {c |}{col 22}{res}{space 2} .2543116{col 34}{space 2} .0222045{col 45}{space 1}   11.45{col 54}{space 3}0.000{col 62}{space 4} .2107767{col 75}{space 3} .2978465
{txt}{space 20} {c |}
pakistan#north_south {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} .0083336{col 34}{space 2} .0331663{col 45}{space 1}    0.25{col 54}{space 3}0.802{col 62}{space 4}-.0566934{col 75}{space 3} .0733605
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .2159265{col 34}{space 2}  .018216{col 45}{space 1}   11.85{col 54}{space 3}0.000{col 62}{space 4} .1802117{col 75}{space 3} .2516413
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##gender

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     5.57
{txt}       Model {c |} {res} 3.97713242         3  1.32571081   {txt}Prob > F        ={res}    0.0008
{txt}    Residual {c |} {res} 1457.29696     6,118  .238198261   {txt}R-squared       ={res}    0.0027
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0022
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48806

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    no_neighbor{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.pakistan {c |}{col 17}{res}{space 2}-.0601139{col 29}{space 2} .0170155{col 40}{space 1}   -3.53{col 49}{space 3}0.000{col 57}{space 4}-.0934703{col 70}{space 3}-.0267575
{txt}{space 7}2.gender {c |}{col 17}{res}{space 2}-.0275078{col 29}{space 2} .0166874{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4} -.060221{col 70}{space 3} .0052055
{txt}{space 15} {c |}
pakistan#gender {c |}
{space 11}1 2  {c |}{col 17}{res}{space 2}  .029314{col 29}{space 2} .0252833{col 40}{space 1}    1.16{col 49}{space 3}0.246{col 57}{space 4}-.0202502{col 70}{space 3} .0788782
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .4263404{col 29}{space 2} .0111354{col 40}{space 1}   38.29{col 49}{space 3}0.000{col 57}{space 4} .4045112{col 70}{space 3} .4481697
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * "Muslim respondents professing unwillingness to have a Hindu neighbor were rare. 
. * In all non-Pakistan vignettes and the control, they constituted 3.8% of Muslim 
. * respondents. In Pakistan vignette arms, they constituted just 1.5%, for a 2.4 
. * percentage point difference in means (p<0.05)."
. 
. ttest no_hindu_neigh, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    520{col 22} .0384615{col 34} .0084414{col 46} .1924929{col 58} .0218781{col 70}  .055045
       {txt}1 {c |}{res}{col 12}    410{col 22} .0146341{col 34} .0059377{col 46}   .12023{col 58} .0029619{col 70} .0263064
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    930{col 22}  .027957{col 34} .0054085{col 46} .1649383{col 58} .0173426{col 70} .0385714
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0238274{col 34} .0103205{col 58} .0035718{col 70}  .044083
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.3087
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 884.783

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9894         {txt}Pr(|T| > |t|) = {res}0.0212          {txt}Pr(T > t) = {res}0.0106
{txt}
{com}. 
. 
. *** APPENDIX
. ** Appendix A3
. * Table A3
. fre treatment
{res}
{txt}treatment
{txt}{hline 37}{hline 1}{c TT}{hline 44}
{txt}        {txt}                              {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 37}{hline 1}{c +}{hline 44}
{txt}Valid   1 China Control Inaction      {c |}{res}        753      10.68      10.68      10.68
{txt}        2 Pakistan Control Inaction   {c |}{res}        768      10.89      10.89      21.57
{txt}        3 China Strategic Inaction    {c |}{res}        809      11.47      11.47      33.04
{txt}        4 Pakistan Strategic Inaction {c |}{res}        771      10.93      10.93      43.97
{txt}        5 China Control Counter       {c |}{res}        788      11.17      11.17      55.15
{txt}        6 Pakistan Control Counter    {c |}{res}        784      11.12      11.12      66.26
{txt}        7 China Strategic Counter     {c |}{res}        794      11.26      11.26      77.52
{txt}        8 Pakistan Strategic Counter  {c |}{res}        746      10.58      10.58      88.10
{txt}        9 No Vignette                 {c |}{res}        839      11.90      11.90     100.00
{txt}        Total                         {c |}{res}       7052     100.00     100.00           
{txt}{hline 37}{hline 1}{c BT}{hline 44}

{com}. 
. * Table A4
. sum muslim gender rural age bjp_dummy 

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}muslim {c |}{res}      7,052    .1318775    .3383815          0          1
{txt}{space 6}gender {c |}{res}      7,052    1.446256    .4971385          1          2
{txt}{space 7}rural {c |}{res}      7,052    .7118548    .4529312          0          1
{txt}{space 9}age {c |}{res}      7,052    38.41109    13.32498         18        102
{txt}{space 3}bjp_dummy {c |}{res}      7,052    .6881736    .4632722          0          1
{txt}
{com}. 
. * A6
. * Table A6
. ttesttable muslim treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15}-0.001
{txt}3{res}{col 15}-0.002
{txt}4{res}{col 15} 0.006
{txt}5{res}{col 15} 0.016
{txt}6{res}{col 15}-0.008
{txt}7{res}{col 15} 0.003
{txt}8{res}{col 15}-0.011
{txt}9{res}{col 15}-0.018
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. ttesttable gender treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15}-0.013
{txt}3{res}{col 15}-0.034
{txt}4{res}{col 15}-0.032
{txt}5{res}{col 15}-0.040
{txt}6{res}{col 15}-0.036
{txt}7{res}{col 15} 0.032
{txt}8{res}{col 15}-0.035
{txt}9{res}{col 15}-0.046*
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. ttesttable age treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15} 0.316
{txt}3{res}{col 15}-0.060
{txt}4{res}{col 15}-0.700
{txt}5{res}{col 15} 1.033
{txt}6{res}{col 15} 0.391
{txt}7{res}{col 15} 0.041
{txt}8{res}{col 15} 0.073
{txt}9{res}{col 15}-0.208
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. ttesttable rural treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15}-0.019
{txt}3{res}{col 15} 0.029
{txt}4{res}{col 15}-0.008
{txt}5{res}{col 15}-0.029
{txt}6{res}{col 15}-0.013
{txt}7{res}{col 15} 0.025
{txt}8{res}{col 15} 0.001
{txt}9{res}{col 15}-0.023
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. ttesttable bjp_dummy treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15} 0.004
{txt}3{res}{col 15} 0.001
{txt}4{res}{col 15}-0.011
{txt}5{res}{col 15}-0.028
{txt}6{res}{col 15} 0.016
{txt}7{res}{col 15}-0.012
{txt}8{res}{col 15} 0.019
{txt}9{res}{col 15}-0.001
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. ttesttable high_inc treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15}-0.036
{txt}3{res}{col 15}-0.043*
{txt}4{res}{col 15}-0.030
{txt}5{res}{col 15}-0.012
{txt}6{res}{col 15}-0.003
{txt}7{res}{col 15}-0.038
{txt}8{res}{col 15} 0.002
{txt}9{res}{col 15}-0.013
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. ttesttable high_educ treatment, unequal ref(1)

{txt}Cross-table of differences among groups with t-Test
{col 22}1
{hline 27}
1{res}{col 15}     0
{txt}2{res}{col 15}-0.059**
{txt}3{res}{col 15}-0.030
{txt}4{res}{col 15}-0.009
{txt}5{res}{col 15}-0.024
{txt}6{res}{col 15}-0.021
{txt}7{res}{col 15}-0.001
{txt}8{res}{col 15}-0.003
{txt}9{res}{col 15} 0.007
{txt}{hline 27}
Note: Differences defined as column-line
      * p<.1; ** p<.05; *** p<.01
{hline 27}

{com}. 
. mlogit treatment muslim gender age rural bjp_dummy high_inc high_educ

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-15490.645}  
Iteration 1:{space 3}log likelihood = {res:-15460.441}  
Iteration 2:{space 3}log likelihood = {res:-15460.416}  
Iteration 3:{space 3}log likelihood = {res:-15460.416}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     7,052
{txt}{col 49}LR chi2({res}56{txt}){col 67}= {res}     60.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.3181
{txt}Log likelihood = {res}-15460.416{txt}{col 49}Pseudo R2{col 67}= {res}    0.0020

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  treatment{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}China_Control_Inaction      {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1743693{col 41}{space 2} .1533808{col 52}{space 1}   -1.14{col 61}{space 3}0.256{col 69}{space 4}-.4749902{col 82}{space 3} .1262516
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.1868176{col 41}{space 2} .1023135{col 52}{space 1}   -1.83{col 61}{space 3}0.068{col 69}{space 4}-.3873483{col 82}{space 3} .0137131
{txt}{space 24}age {c |}{col 29}{res}{space 2}   -.0014{col 41}{space 2} .0038325{col 52}{space 1}   -0.37{col 61}{space 3}0.715{col 69}{space 4}-.0089116{col 82}{space 3} .0061116
{txt}{space 22}rural {c |}{col 29}{res}{space 2}-.1019705{col 41}{space 2} .1137268{col 52}{space 1}   -0.90{col 61}{space 3}0.370{col 69}{space 4} -.324871{col 82}{space 3}   .12093
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2}-.0468231{col 41}{space 2} .1132947{col 52}{space 1}   -0.41{col 61}{space 3}0.679{col 69}{space 4}-.2688766{col 82}{space 3} .1752304
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2}-.0917739{col 41}{space 2}  .106223{col 52}{space 1}   -0.86{col 61}{space 3}0.388{col 69}{space 4}-.2999671{col 82}{space 3} .1164193
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .0247134{col 41}{space 2} .1053428{col 52}{space 1}    0.23{col 61}{space 3}0.815{col 69}{space 4}-.1817548{col 82}{space 3} .2311815
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .3700803{col 41}{space 2} .2603767{col 52}{space 1}    1.42{col 61}{space 3}0.155{col 69}{space 4}-.1402486{col 82}{space 3} .8804093
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Pakistan_Control_Inaction   {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1243477{col 41}{space 2}  .152278{col 52}{space 1}   -0.82{col 61}{space 3}0.414{col 69}{space 4}-.4228071{col 82}{space 3} .1741118
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.1437669{col 41}{space 2} .1016201{col 52}{space 1}   -1.41{col 61}{space 3}0.157{col 69}{space 4}-.3429386{col 82}{space 3} .0554048
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0013241{col 41}{space 2}   .00382{col 52}{space 1}   -0.35{col 61}{space 3}0.729{col 69}{space 4}-.0088112{col 82}{space 3} .0061631
{txt}{space 22}rural {c |}{col 29}{res}{space 2} .0185552{col 41}{space 2}   .11434{col 52}{space 1}    0.16{col 61}{space 3}0.871{col 69}{space 4}-.2055471{col 82}{space 3} .2426574
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2}-.0520347{col 41}{space 2} .1125466{col 52}{space 1}   -0.46{col 61}{space 3}0.644{col 69}{space 4} -.272622{col 82}{space 3} .1685526
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2} .0303628{col 41}{space 2} .1048539{col 52}{space 1}    0.29{col 61}{space 3}0.772{col 69}{space 4}-.1751471{col 82}{space 3} .2358727
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .2459332{col 41}{space 2} .1047478{col 52}{space 1}    2.35{col 61}{space 3}0.019{col 69}{space 4} .0406313{col 82}{space 3} .4512352
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}    .0779{col 41}{space 2}  .260524{col 52}{space 1}    0.30{col 61}{space 3}0.765{col 69}{space 4}-.4327176{col 82}{space 3} .5885176
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}China_Strategic_Inaction    {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1319102{col 41}{space 2}  .150093{col 52}{space 1}   -0.88{col 61}{space 3}0.379{col 69}{space 4} -.426087{col 82}{space 3} .1622666
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.0219488{col 41}{space 2} .1000992{col 52}{space 1}   -0.22{col 61}{space 3}0.826{col 69}{space 4}-.2181395{col 82}{space 3} .1742419
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0003538{col 41}{space 2} .0037551{col 52}{space 1}   -0.09{col 61}{space 3}0.925{col 69}{space 4}-.0077137{col 82}{space 3}  .007006
{txt}{space 22}rural {c |}{col 29}{res}{space 2}-.2319935{col 41}{space 2} .1102867{col 52}{space 1}   -2.10{col 61}{space 3}0.035{col 69}{space 4}-.4481515{col 82}{space 3}-.0158356
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2}-.0338198{col 41}{space 2} .1112998{col 52}{space 1}   -0.30{col 61}{space 3}0.761{col 69}{space 4}-.2519633{col 82}{space 3} .1843238
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2} .0683814{col 41}{space 2} .1033933{col 52}{space 1}    0.66{col 61}{space 3}0.508{col 69}{space 4}-.1342657{col 82}{space 3} .2710285
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .1090968{col 41}{space 2} .1033032{col 52}{space 1}    1.06{col 61}{space 3}0.291{col 69}{space 4}-.0933737{col 82}{space 3} .3115673
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1347382{col 41}{space 2} .2558674{col 52}{space 1}    0.53{col 61}{space 3}0.598{col 69}{space 4}-.3667527{col 82}{space 3} .6362291
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Pakistan_Strategic_Inaction {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1875426{col 41}{space 2}  .153903{col 52}{space 1}   -1.22{col 61}{space 3}0.223{col 69}{space 4}-.4891871{col 82}{space 3} .1141018
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.0515477{col 41}{space 2} .1012758{col 52}{space 1}   -0.51{col 61}{space 3}0.611{col 69}{space 4}-.2500447{col 82}{space 3} .1469493
{txt}{space 24}age {c |}{col 29}{res}{space 2} .0028831{col 41}{space 2} .0037785{col 52}{space 1}    0.76{col 61}{space 3}0.445{col 69}{space 4}-.0045226{col 82}{space 3} .0102889
{txt}{space 22}rural {c |}{col 29}{res}{space 2} -.055353{col 41}{space 2} .1135125{col 52}{space 1}   -0.49{col 61}{space 3}0.626{col 69}{space 4}-.2778333{col 82}{space 3} .1671274
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2} .0049754{col 41}{space 2} .1131389{col 52}{space 1}    0.04{col 61}{space 3}0.965{col 69}{space 4}-.2167728{col 82}{space 3} .2267237
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2} .0503332{col 41}{space 2} .1048601{col 52}{space 1}    0.48{col 61}{space 3}0.631{col 69}{space 4}-.1551888{col 82}{space 3} .2558552
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .0516204{col 41}{space 2} .1046509{col 52}{space 1}    0.49{col 61}{space 3}0.622{col 69}{space 4}-.1534916{col 82}{space 3} .2567323
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-.1037019{col 41}{space 2} .2602112{col 52}{space 1}   -0.40{col 61}{space 3}0.690{col 69}{space 4}-.6137064{col 82}{space 3} .4063026
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}China_Control_Counter       {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.2647381{col 41}{space 2} .1559348{col 52}{space 1}   -1.70{col 61}{space 3}0.090{col 69}{space 4}-.5703646{col 82}{space 3} .0408885
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.0377683{col 41}{space 2} .1006738{col 52}{space 1}   -0.38{col 61}{space 3}0.708{col 69}{space 4}-.2350854{col 82}{space 3} .1595488
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0068856{col 41}{space 2} .0038399{col 52}{space 1}   -1.79{col 61}{space 3}0.073{col 69}{space 4}-.0144117{col 82}{space 3} .0006405
{txt}{space 22}rural {c |}{col 29}{res}{space 2} .0310131{col 41}{space 2} .1142996{col 52}{space 1}    0.27{col 61}{space 3}0.786{col 69}{space 4}  -.19301{col 82}{space 3} .2550363
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2} .0765084{col 41}{space 2} .1133484{col 52}{space 1}    0.67{col 61}{space 3}0.500{col 69}{space 4}-.1456504{col 82}{space 3} .2986673
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2}-.0270911{col 41}{space 2} .1046143{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.2321314{col 82}{space 3} .1779493
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .0803933{col 41}{space 2} .1039928{col 52}{space 1}    0.77{col 61}{space 3}0.439{col 69}{space 4}-.1234289{col 82}{space 3} .2842156
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1856841{col 41}{space 2} .2597408{col 52}{space 1}    0.71{col 61}{space 3}0.475{col 69}{space 4}-.3233984{col 82}{space 3} .6947667
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Pakistan_Control_Counter    {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1132891{col 41}{space 2} .1499349{col 52}{space 1}   -0.76{col 61}{space 3}0.450{col 69}{space 4}-.4071561{col 82}{space 3} .1805778
{txt}{space 21}gender {c |}{col 29}{res}{space 2} -.049538{col 41}{space 2} .1008027{col 52}{space 1}   -0.49{col 61}{space 3}0.623{col 69}{space 4}-.2471077{col 82}{space 3} .1480317
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0028588{col 41}{space 2}   .00381{col 52}{space 1}   -0.75{col 61}{space 3}0.453{col 69}{space 4}-.0103262{col 82}{space 3} .0046087
{txt}{space 22}rural {c |}{col 29}{res}{space 2}-.0508077{col 41}{space 2}  .113301{col 52}{space 1}   -0.45{col 61}{space 3}0.654{col 69}{space 4}-.2728735{col 82}{space 3} .1712581
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2}-.1014435{col 41}{space 2} .1114579{col 52}{space 1}   -0.91{col 61}{space 3}0.363{col 69}{space 4}-.3198969{col 82}{space 3} .1170099
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2}-.0805637{col 41}{space 2} .1049873{col 52}{space 1}   -0.77{col 61}{space 3}0.443{col 69}{space 4} -.286335{col 82}{space 3} .1252077
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .1044589{col 41}{space 2} .1041516{col 52}{space 1}    1.00{col 61}{space 3}0.316{col 69}{space 4}-.0996746{col 82}{space 3} .3085923
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}  .218597{col 41}{space 2} .2586174{col 52}{space 1}    0.85{col 61}{space 3}0.398{col 69}{space 4}-.2882837{col 82}{space 3} .7254778
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}China_Strategic_Counter     {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1888445{col 41}{space 2}  .152047{col 52}{space 1}   -1.24{col 61}{space 3}0.214{col 69}{space 4}-.4868511{col 82}{space 3} .1091621
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.2957414{col 41}{space 2} .1015799{col 52}{space 1}   -2.91{col 61}{space 3}0.004{col 69}{space 4}-.4948342{col 82}{space 3}-.0966485
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0017678{col 41}{space 2} .0037799{col 52}{space 1}   -0.47{col 61}{space 3}0.640{col 69}{space 4}-.0091763{col 82}{space 3} .0056407
{txt}{space 22}rural {c |}{col 29}{res}{space 2}-.1880431{col 41}{space 2} .1110125{col 52}{space 1}   -1.69{col 61}{space 3}0.090{col 69}{space 4}-.4056235{col 82}{space 3} .0295374
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2} .0094657{col 41}{space 2} .1124507{col 52}{space 1}    0.08{col 61}{space 3}0.933{col 69}{space 4}-.2109336{col 82}{space 3}  .229865
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2} .0538087{col 41}{space 2} .1040194{col 52}{space 1}    0.52{col 61}{space 3}0.605{col 69}{space 4}-.1500656{col 82}{space 3}  .257683
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2}-.0036544{col 41}{space 2} .1039246{col 52}{space 1}   -0.04{col 61}{space 3}0.972{col 69}{space 4}-.2073429{col 82}{space 3}  .200034
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .5682396{col 41}{space 2} .2561871{col 52}{space 1}    2.22{col 61}{space 3}0.027{col 69}{space 4} .0661221{col 82}{space 3} 1.070357
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Pakistan_Strategic_Counter  {txt}{c |}
{space 21}muslim {c |}{col 29}{res}{space 2}-.1044814{col 41}{space 2} .1512815{col 52}{space 1}   -0.69{col 61}{space 3}0.490{col 69}{space 4}-.4009878{col 82}{space 3}  .192025
{txt}{space 21}gender {c |}{col 29}{res}{space 2}-.0433187{col 41}{space 2} .1021415{col 52}{space 1}   -0.42{col 61}{space 3}0.671{col 69}{space 4}-.2435123{col 82}{space 3} .1568748
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0015897{col 41}{space 2}  .003847{col 52}{space 1}   -0.41{col 61}{space 3}0.679{col 69}{space 4}-.0091296{col 82}{space 3} .0059502
{txt}{space 22}rural {c |}{col 29}{res}{space 2}-.1266287{col 41}{space 2}  .113902{col 52}{space 1}   -1.11{col 61}{space 3}0.266{col 69}{space 4}-.3498725{col 82}{space 3} .0966151
{txt}{space 18}bjp_dummy {c |}{col 29}{res}{space 2}-.1157504{col 41}{space 2} .1127823{col 52}{space 1}   -1.03{col 61}{space 3}0.305{col 69}{space 4}-.3367996{col 82}{space 3} .1052989
{txt}{space 19}high_inc {c |}{col 29}{res}{space 2}-.0938533{col 41}{space 2} .1065153{col 52}{space 1}   -0.88{col 61}{space 3}0.378{col 69}{space 4}-.3026194{col 82}{space 3} .1149128
{txt}{space 18}high_educ {c |}{col 29}{res}{space 2} .0364912{col 41}{space 2} .1055977{col 52}{space 1}    0.35{col 61}{space 3}0.730{col 69}{space 4}-.1704765{col 82}{space 3} .2434589
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .2112036{col 41}{space 2} .2613089{col 52}{space 1}    0.81{col 61}{space 3}0.419{col 69}{space 4}-.3009523{col 82}{space 3} .7233595
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_Vignette                {col 29}{txt}{c |}  (base outcome)
{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * A7 Main Experimental Results
. ttest no_neighbor, by(control) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,407{col 22} .3882005{col 34} .0066282{col 46} .4873857{col 58} .3752066{col 70} .4011944
       {txt}1 {c |}{res}{col 12}    715{col 22}  .434965{col 34} .0185531{col 46} .4960995{col 58} .3985399{col 70} .4713901
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .3936622{col 34} .0062446{col 46} .4886013{col 58} .3814205{col 70} .4059039
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0467646{col 34} .0197015{col 58}-.0854304{col 70}-.0080987
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.3737
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res}  905.94

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0089         {txt}Pr(|T| > |t|) = {res}0.0178          {txt}Pr(T > t) = {res}0.9911
{txt}
{com}. ttest no_neighbor, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,463{col 22} .4140918{col 34} .0083714{col 46} .4926356{col 58} .3976784{col 70} .4305053
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .3670553{col 34} .0093491{col 46} .4820924{col 58}  .348723{col 70} .3853876
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .3936622{col 34} .0062446{col 46} .4886013{col 58} .3814205{col 70} .4059039
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0470365{col 34} .0125494{col 58} .0224351{col 70}  .071638
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.7481
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5777.46

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9999         {txt}Pr(|T| > |t|) = {res}0.0002          {txt}Pr(T > t) = {res}0.0001
{txt}
{com}. ttest no_neighbor if treatment!=9, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,748{col 22} .4086608{col 34} .0093793{col 46} .4916758{col 58} .3902696{col 70}  .427052
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .3670553{col 34} .0093491{col 46} .4820924{col 58}  .348723{col 70} .3853876
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  5,407{col 22} .3882005{col 34} .0066282{col 46} .4873857{col 58} .3752066{col 70} .4011944
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0416056{col 34}  .013243{col 58} .0156439{col 70} .0675672
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.1417
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5404.05

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9992         {txt}Pr(|T| > |t|) = {res}0.0017          {txt}Pr(T > t) = {res}0.0008
{txt}
{com}. ttest muslim_rapid, by(control) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,407{col 22} .8087664{col 34} .0053488{col 46} .3933089{col 58} .7982806{col 70} .8192522
       {txt}1 {c |}{res}{col 12}    715{col 22} .7972028{col 34} .0150476{col 46} .4023642{col 58}   .76766{col 70} .8267456
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .8074159{col 34} .0050402{col 46} .3943614{col 58} .7975353{col 70} .8172964
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0115636{col 34} .0159699{col 58}-.0197788{col 70} .0429061
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7241
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 903.922

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7654         {txt}Pr(|T| > |t|) = {res}0.4692          {txt}Pr(T > t) = {res}0.2346
{txt}
{com}. ttest muslim_rapid, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,463{col 22} .8036385{col 34} .0067514{col 46} .3973025{col 58} .7904013{col 70} .8168756
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .8123355{col 34} .0075732{col 46} .3905175{col 58} .7974854{col 70} .8271855
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,122{col 22} .8074159{col 34} .0050402{col 46} .3943614{col 58} .7975353{col 70} .8172964
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.008697{col 34} .0101457{col 58}-.0285864{col 70} .0111924
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8572
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5765.71

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1957         {txt}Pr(|T| > |t|) = {res}0.3914          {txt}Pr(T > t) = {res}0.8043
{txt}
{com}. ttest muslim_rapid if treatment!=9, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,748{col 22}  .805313{col 34} .0075548{col 46} .3960317{col 58} .7904993{col 70} .8201266
       {txt}1 {c |}{res}{col 12}  2,659{col 22} .8123355{col 34} .0075732{col 46} .3905175{col 58} .7974854{col 70} .8271855
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  5,407{col 22} .8087664{col 34} .0053488{col 46} .3933089{col 58} .7982806{col 70} .8192522
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0070225{col 34} .0106971{col 58}-.0279932{col 70} .0139482
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6565
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 5403.07

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2558         {txt}Pr(|T| > |t|) = {res}0.5115          {txt}Pr(T > t) = {res}0.7442
{txt}
{com}. ttest no_hindu_neigh, by(pakistan) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    520{col 22} .0384615{col 34} .0084414{col 46} .1924929{col 58} .0218781{col 70}  .055045
       {txt}1 {c |}{res}{col 12}    410{col 22} .0146341{col 34} .0059377{col 46}   .12023{col 58} .0029619{col 70} .0263064
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    930{col 22}  .027957{col 34} .0054085{col 46} .1649383{col 58} .0173426{col 70} .0385714
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0238274{col 34} .0103205{col 58} .0035718{col 70}  .044083
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.3087
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 884.783

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9894         {txt}Pr(|T| > |t|) = {res}0.0212          {txt}Pr(T > t) = {res}0.0106
{txt}
{com}. 
. * A8 Sub-Group Tests
. reg no_neighbor pakistan##modi_dummy

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}    27.88
{txt}       Model {c |} {res} 19.7070983         3  6.56903277   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}   1441.567     6,118  .235627165   {txt}R-squared       ={res}    0.0135
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0130
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48541

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        no_neighbor{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.pakistan {c |}{col 21}{res}{space 2}-.0254957{col 33}{space 2} .0306808{col 44}{space 1}   -0.83{col 53}{space 3}0.406{col 61}{space 4}-.0856409{col 74}{space 3} .0346495
{txt}{space 7}1.modi_dummy {c |}{col 21}{res}{space 2} .1495483{col 33}{space 2} .0223877{col 44}{space 1}    6.68{col 53}{space 3}0.000{col 61}{space 4} .1056606{col 74}{space 3}  .193436
{txt}{space 19} {c |}
pakistan#modi_dummy {c |}
{space 15}1 1  {c |}{col 21}{res}{space 2}-.0245128{col 33}{space 2} .0336046{col 44}{space 1}   -0.73{col 53}{space 3}0.466{col 61}{space 4}-.0903896{col 74}{space 3} .0413641
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2887701{col 33}{space 2} .0204942{col 44}{space 1}   14.09{col 53}{space 3}0.000{col 61}{space 4} .2485942{col 74}{space 3} .3289459
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##bjp_dummy

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}    32.56
{txt}       Model {c |} {res} 22.9646411         3  7.65488037   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1438.30945     6,118  .235094713   {txt}R-squared       ={res}    0.0157
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0152
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48487

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       no_neighbor{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.pakistan {c |}{col 20}{res}{space 2}-.0194577{col 32}{space 2}  .024409{col 43}{space 1}   -0.80{col 52}{space 3}0.425{col 60}{space 4}-.0673081{col 73}{space 3} .0283926
{txt}{space 7}1.bjp_dummy {c |}{col 20}{res}{space 2} .1432972{col 32}{space 2} .0189325{col 43}{space 1}    7.57{col 52}{space 3}0.000{col 60}{space 4} .1061829{col 73}{space 3} .1804114
{txt}{space 18} {c |}
pakistan#bjp_dummy {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0347123{col 32}{space 2} .0284214{col 43}{space 1}   -1.22{col 52}{space 3}0.222{col 60}{space 4}-.0904283{col 73}{space 3} .0210038
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .3071672{col 32}{space 2} .0163541{col 43}{space 1}   18.78{col 52}{space 3}0.000{col 60}{space 4} .2751074{col 73}{space 3} .3392271
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##high_inc

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     9.83
{txt}       Model {c |} {res} 7.01162395         3  2.33720798   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1454.26247     6,118  .237702267   {txt}R-squared       ={res}    0.0048
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0043
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48755

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      no_neighbor{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.pakistan {c |}{col 19}{res}{space 2}-.0359603{col 31}{space 2} .0162466{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-.0678094{col 72}{space 3}-.0041112
{txt}{space 7}1.high_inc {c |}{col 19}{res}{space 2}-.0358676{col 31}{space 2} .0168861{col 42}{space 1}   -2.12{col 51}{space 3}0.034{col 59}{space 4}-.0689703{col 72}{space 3}-.0027649
{txt}{space 17} {c |}
pakistan#high_inc {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}-.0281183{col 31}{space 2} .0256478{col 42}{space 1}   -1.10{col 51}{space 3}0.273{col 59}{space 4} -.078397{col 72}{space 3} .0221603
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .4285714{col 31}{space 2} .0107289{col 42}{space 1}   39.95{col 51}{space 3}0.000{col 59}{space 4} .4075389{col 72}{space 3} .4496039
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##moremuslimstate

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     4.66
{txt}       Model {c |} {res} 3.32998929         3  1.10999643   {txt}Prob > F        ={res}    0.0030
{txt}    Residual {c |} {res}  1457.9441     6,118  .238304038   {txt}R-squared       ={res}    0.0023
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0018
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48816

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             no_neighbor{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      t{col 58}   P>|t|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.pakistan {c |}{col 26}{res}{space 2}-.0475362{col 38}{space 2} .0179993{col 49}{space 1}   -2.64{col 58}{space 3}0.008{col 66}{space 4}-.0828212{col 79}{space 3}-.0122512
{txt}{space 7}1.moremuslimstate {c |}{col 26}{res}{space 2} .0007175{col 38}{space 2} .0165909{col 49}{space 1}    0.04{col 58}{space 3}0.966{col 66}{space 4}-.0318065{col 79}{space 3} .0332414
{txt}{space 24} {c |}
pakistan#moremuslimstate {c |}
{space 20}1 1  {c |}{col 26}{res}{space 2} .0009347{col 38}{space 2}  .025185{col 49}{space 1}    0.04{col 58}{space 3}0.970{col 66}{space 4}-.0484367{col 79}{space 3} .0503062
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .4137334{col 38}{space 2} .0117264{col 49}{space 1}   35.28{col 58}{space 3}0.000{col 66}{space 4} .3907454{col 79}{space 3} .4367214
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##old

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     4.67
{txt}       Model {c |} {res} 3.34037693         3  1.11345898   {txt}Prob > F        ={res}    0.0029
{txt}    Residual {c |} {res} 1457.93372     6,118   .23830234   {txt}R-squared       ={res}    0.0023
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0018
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48816

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} no_neighbor{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.pakistan {c |}{col 14}{res}{space 2} -.049559{col 26}{space 2} .0169114{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.0827112{col 67}{space 3}-.0164068
{txt}{space 7}1.old {c |}{col 14}{res}{space 2}-.0017922{col 26}{space 2} .0166626{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-.0344567{col 67}{space 3} .0308723
{txt}{space 12} {c |}
pakistan#old {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0056771{col 26}{space 2} .0253251{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4} -.043969{col 67}{space 3} .0553232
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .4149049{col 26}{space 2} .0112229{col 37}{space 1}   36.97{col 46}{space 3}0.000{col 54}{space 4} .3929041{col 67}{space 3} .4369056
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##north_south

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,546
{txt}{hline 13}{c +}{hline 34}   F(3, 3542)      = {res}    84.80
{txt}       Model {c |} {res} 55.1261375         3  18.3753792   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 767.477641     3,542  .216679176   {txt}R-squared       ={res}    0.0670
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0662
{txt}       Total {c |} {res} 822.603779     3,545    .2320462   {txt}Root MSE        =   {res} .46549

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         no_neighbor{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.pakistan {c |}{col 22}{res}{space 2}-.0456756{col 34}{space 2} .0268353{col 45}{space 1}   -1.70{col 54}{space 3}0.089{col 62}{space 4}-.0982899{col 75}{space 3} .0069387
{txt}{space 7}1.north_south {c |}{col 22}{res}{space 2} .2543116{col 34}{space 2} .0222045{col 45}{space 1}   11.45{col 54}{space 3}0.000{col 62}{space 4} .2107767{col 75}{space 3} .2978465
{txt}{space 20} {c |}
pakistan#north_south {c |}
{space 16}1 1  {c |}{col 22}{res}{space 2} .0083336{col 34}{space 2} .0331663{col 45}{space 1}    0.25{col 54}{space 3}0.802{col 62}{space 4}-.0566934{col 75}{space 3} .0733605
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .2159265{col 34}{space 2}  .018216{col 45}{space 1}   11.85{col 54}{space 3}0.000{col 62}{space 4} .1802117{col 75}{space 3} .2516413
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##gender

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}     5.57
{txt}       Model {c |} {res} 3.97713242         3  1.32571081   {txt}Prob > F        ={res}    0.0008
{txt}    Residual {c |} {res} 1457.29696     6,118  .238198261   {txt}R-squared       ={res}    0.0027
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0022
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48806

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    no_neighbor{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.pakistan {c |}{col 17}{res}{space 2}-.0601139{col 29}{space 2} .0170155{col 40}{space 1}   -3.53{col 49}{space 3}0.000{col 57}{space 4}-.0934703{col 70}{space 3}-.0267575
{txt}{space 7}2.gender {c |}{col 17}{res}{space 2}-.0275078{col 29}{space 2} .0166874{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4} -.060221{col 70}{space 3} .0052055
{txt}{space 15} {c |}
pakistan#gender {c |}
{space 11}1 2  {c |}{col 17}{res}{space 2}  .029314{col 29}{space 2} .0252833{col 40}{space 1}    1.16{col 49}{space 3}0.246{col 57}{space 4}-.0202502{col 70}{space 3} .0788782
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .4263404{col 29}{space 2} .0111354{col 40}{space 1}   38.29{col 49}{space 3}0.000{col 57}{space 4} .4045112{col 70}{space 3} .4481697
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg no_neighbor pakistan##high_ed

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(3, 6118)      = {res}    20.00
{txt}       Model {c |} {res} 14.1910297         3  4.73034323   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1447.08306     6,118  .236528778   {txt}R-squared       ={res}    0.0097
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0092
{txt}       Total {c |} {res} 1461.27409     6,121  .238731268   {txt}Root MSE        =   {res} .48634

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       no_neighbor{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.pakistan {c |}{col 20}{res}{space 2} -.034456{col 32}{space 2} .0177749{col 43}{space 1}   -1.94{col 52}{space 3}0.053{col 60}{space 4}-.0693011{col 73}{space 3} .0003891
{txt}{space 7}1.high_educ {c |}{col 20}{res}{space 2}-.0734469{col 32}{space 2} .0165296{col 43}{space 1}   -4.44{col 52}{space 3}0.000{col 60}{space 4}-.1058508{col 73}{space 3} -.041043
{txt}{space 18} {c |}
pakistan#high_educ {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0230877{col 32}{space 2} .0250823{col 43}{space 1}   -0.92{col 52}{space 3}0.357{col 60}{space 4}-.0722578{col 73}{space 3} .0260824
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .4504865{col 32}{space 2} .0116358{col 43}{space 1}   38.72{col 52}{space 3}0.000{col 60}{space 4} .4276763{col 73}{space 3} .4732968
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * A9 Additional Outcome Measure: Reputational Spillover
. gen figA1=1 if treatment==6|treatment==8
{txt}(5,522 missing values generated)

{com}. replace figA1=2 if treatment==2|treatment==4
{txt}(1,539 real changes made)

{com}. replace figA1=3 if inlist(treatment, 1, 3, 5, 7)
{txt}(3,144 real changes made)

{com}. replace figA1=4 if treatment==9
{txt}(839 real changes made)

{com}. reg better_muslim ibn.figA1, nocons

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     6,122
{txt}{hline 13}{c +}{hline 34}   F(4, 6118)      = {res}  6312.72
{txt}       Model {c |} {res} 3966.06693         4  991.516733   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 960.933066     6,118  .157066536   {txt}R-squared       ={res}    0.8050
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.8048
{txt}       Total {c |} {res}       4927     6,122  .804802352   {txt}Root MSE        =   {res} .39632

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}better_mus~m{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}figA1 {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7995444{col 26}{space 2} .0109207{col 37}{space 1}   73.21{col 46}{space 3}0.000{col 54}{space 4} .7781361{col 67}{space 3} .8209528
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7861401{col 26}{space 2} .0108185{col 37}{space 1}   72.67{col 46}{space 3}0.000{col 54}{space 4} .7649321{col 67}{space 3} .8073481
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8133188{col 26}{space 2} .0075602{col 37}{space 1}  107.58{col 46}{space 3}0.000{col 54}{space 4} .7984981{col 67}{space 3} .8281394
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8167832{col 26}{space 2} .0148214{col 37}{space 1}   55.11{col 46}{space 3}0.000{col 54}{space 4} .7877281{col 67}{space 3} .8458383
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store B
{txt}
{com}. coefplot B, vert mlabel format(%9.3g) scheme(s1mono)
{res}{txt}
{com}. 
. test 1.figA1=2.figA1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn.figA1 - 2.figA1 = 0{p_end}

{txt}       F(  1,  6118) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.3832
{txt}
{com}. test 1.figA1=3.figA1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn.figA1 - 3.figA1 = 0{p_end}

{txt}       F(  1,  6118) ={res}    1.08
{txt}{col 13}Prob > F ={res}    0.2998
{txt}
{com}. test 1.figA1=4.figA1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn.figA1 - 4.figA1 = 0{p_end}

{txt}       F(  1,  6118) ={res}    0.88
{txt}{col 13}Prob > F ={res}    0.3491
{txt}
{com}. 
. ttest better_muslim, by(pak_counter) uneq

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,090{col 22}  .804401{col 34} .0062031{col 46} .3967096{col 58} .7922395{col 70} .8165625
       {txt}1 {c |}{res}{col 12}  1,317{col 22} .7995444{col 34} .0110358{col 46} .4004934{col 58} .7778948{col 70}  .821194
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  5,407{col 22} .8032181{col 34} .0054072{col 46} .3976029{col 58} .7926178{col 70} .8138183
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0048566{col 34} .0126597{col 58}-.0199695{col 70} .0296826
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3836
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 2208.01

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6494         {txt}Pr(|T| > |t|) = {res}0.7013          {txt}Pr(T > t) = {res}0.3506
{txt}
{com}. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/chrisclary/Dropbox/India two front Survey Experiment/Minority article/Submitted documents/Conditional Accept Submission/linked_outgroup_2024.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 4 Jul 2024, 18:09:40
{txt}{.-}
{smcl}
{txt}{sf}{ul off}